Both verticals share a long sales cycle, strict data regulation, and attribution chains the typical agency dashboard cannot model. The fix is the same shape; the constraints differ.
PILLAR 01 · OUTCOME-PRICED
Predictive Pipeline
& Attribution
Third-party tracking is dead. The agencies winning in 2026 are the ones rebuilding the data system on the client's side of the fence - server-side events, UTM-to-CRM pipelines, blended attribution models, and forecasts the CFO actually trusts. We ship the system, instrument the closed loop, and price against pipeline velocity.
THE PROBLEM IN YOUR VERTICAL
How attribution actually breaks in healthcare and energy.
Healthcare marketing teams sit on attribution chains the rest of B2B doesn't: patient → primary care referral → specialist → procedure, all gated by HIPAA on the identifier side. Most agencies give up and credit last-click.
We rebuild the chain server-side using compliant identifiers (hashed claims data, opted-in patient portal IDs), wire it into the CRM your sales team already uses, and model the multi-touch path with MMM as the smoothing layer.
WE SHIP
Real artifacts. Not "deliverables."
ARTIFACT 01
Server-side event pipeline
Server-side GA4 + custom event stream into the data warehouse you already own. No browser-only events, no third-party-cookie dependency, no data leaking through ad networks.
ARTIFACT 02
UTM → CRM bridge
Every campaign-tagged touch lands on the right account in Salesforce / HubSpot. Closed-won status flows back to the warehouse the same day, not the same quarter.
ARTIFACT 03
MMM-blended attribution model
Multi-touch attribution where data permits, marketing mix modeling where it doesn't. Reconciles weekly. Defensible in front of finance.
ARTIFACT 04
Pipeline forecast dashboard
A single dashboard showing committed pipeline, predicted close-by-quarter, and the marketing investment driving each. The CFO learns it in 10 minutes.
ENGAGEMENT SHAPE
Typical first 12 weeks.
WEEKS 1–2
Attribution audit
Stack inventory, data-flow map, identified gaps. One page of recommendations. Fixed-fee.
WEEKS 3–6
Server-side instrumentation
GA4 server-side, event schema, warehouse landing zone. First closed-loop event by week six.
WEEKS 7–10
Model + dashboard build
MMM-blended attribution. Pipeline forecast dashboard live for internal review.
WEEKS 11–12
First quarterly review
Reallocation recommendations against the new model. Roadmap for the next quarter.
Reblend rebuilt our attribution from last-click to MMM-blended in nine weeks. We reallocated ~32% of paid budget in the first quarter and stopped guessing.
Most attribution engagements open the road to the other two pillars.
Once the data system is clean, the obvious next moves are (a) an AI workflow that turns the warehouse into an internal Q&A surface for sales, and (b) a high-performance front-end that captures the new events at scale.
Scope a Predictive Pipeline sprint.
Typical first sprint - two weeks, fixed fee. You own the audit and the recommendation regardless of next steps.